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Azumo is currently looking for a highly motivated Data Scientist to develop and enhance data and analytics infrastructure.
The position is
FULLY REMOTE based in Latin America
This position will provide you with the opportunity to collaborate with a dynamic team and talented data scientists in the field of big data analytics.
If you have a passion for designing and implementing advanced machine learning and deep learning models, this role is perfect for you.
We are seeking a skilled Data Scientist with expertise in Python for production-level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and experience working with PyTorch.
We're looking for a versatile
Machine Learning Engineer / Data Scientist
to join our big-data analytics team.
In this hybrid role you'll not only design and prototype novel ML/DL models, but also productionize them end-to-end, integrating your solutions into our data pipelines and services.
You'll work closely with data engineers, software developers and product owners to ensure high-quality, scalable, maintainable systems.
Key Responsibilities
Model Development & Productionization
Design, train and validate supervised and unsupervised models (e.g. anomaly detection, classification, forecasting)
Architect and implement deep learning solutions (CNNs, Transformers) with PyTorch
Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD)
Data Engineering & MLOps
Ingest, clean and transform large datasets using pandas, NumPy, Spark
Automate training and serving workflows with Airflow or similar
Monitor model performance in production; iterate on drift detection and retraining strategies
Software Development Best Practices
Write production-grade Python code following SOLID principles, unit tests and code reviews
Collaborate in Agile (Scrum) ceremonies; track work in JIRA
Cross-Functional Collaboration
Communicate analysis, design and results clearly in English
Partner with DevOps, data engineering and product teams to align on requirements and SLAs
About Azumo
At
Azumo
we strive for excellence and strongly believe in professional and personal growth.
We want each individual to be successful and pledge to help each achieve their goals while at
Azumo
and beyond.
Challenging ourselves and learning new technologies is at the core of what we do.
We believe in giving back to our community and will volunteer our time to philanthropy, open source initiatives and sharing our knowledge.
Based in San Francisco, California, Azumo
is an innovative software development firm helping organizations make insightful decisions using the latest technologies in data, cloud and mobility.
We combine expertise in strategy, data science, application development and design to drive digital transformation initiatives for companies of all sizes.
How to apply
If you are qualified for the opportunity and looking for a challenge please apply online at or connect with us at
Requirements
Minimum Qualifications
Bachelor's or Master's in Computer Science, Data Science or related field
5+ years
of professional experience with Python in production environments
Solid background in machine learning & deep learning (CNNs, Transformers)
Hands-on experience with PyTorch or similar frameworks (training, custom modules, optimization)
Proven track record deploying ML solutions
Expert in pandas, NumPy and scikit-learn
Familiarity with Agile/Scrum practices and tooling (JIRA, Confluence)
Strong foundation in statistics and experimental design
Excellent written and spoken English
Preferred Qualifications
Experience with
cloud platforms
(AWS, GCP, or Azure): S3, EC2, SageMaker, etc.
Familiarity with
big-data ecosystems
(Spark, Hadoop)
Practice in
CI/CD & container orchestration
(Jenkins/GitLab CI, Docker, Kubernetes)
Exposure to
MLOps tools
(MLflow, Kubeflow, TFX)
Experience with
large language models
and prompt engineering
Documentation skills using
PlantUML
or similar
Benefits
Paid time off (PTO)
U.S. Holidays
Training
Udemy free Premium access
Mentored career development
Free English Courses
Profit Sharing
$US Remuneration
#J-18808-Ljbffr
Key Skills
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